Quantitative Researcher - Intern

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

Job Responsibilities

Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies

Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline

Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl

Strong analytical and quantitative skills

Demonstrated interest in financial markets and systematic trading

Clear, concise, and proactive communicator

Detail-oriented

Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.